High-accuracy and unsupervised feature extraction for smart grid transformer loss prediction based on deep belief networks
Addressing the limitations of existing transformer loss prediction techniques for smart grid, which rely heavily on labeled data and exhibit weak feature extraction capabilities, we propose a DBN-BP integrated algorithm combining deep belief networks and Back propagation neural networks for transformer loss predictio...